With the rapid development of virtual reality technology in multimedia technology, sports simulation teaching has attracted more and more attention. VR technology provides advanced and scientific training methods for teaching workers, and basketball train ing simulation also promotes the development of computer technology. This article mainly studies the feasibility analysis of VR technology in basketball training. First, a human basketball training model is established, and then the image is preprocessed. The denoised background grayscale image and the target frame grayscale image are used as experimental objects, and the difference operation of the two images is performed using the background difference principle described earlier. Finally, the bwlabel function is used to mark the coherent area in the differential binary image, and the area of the area can be calculated. Experimental data shows that when using the kinematic equation model to simulate human motion, the maximum iEMG is 15.5 and the maximum RMS is 19. The results show that VR technology makes the basketball training process more efficient, and athletes can interact with the virtual environment in a natural way.
Since entering the 21st century, multisensor information fusion technology has developed rapidly, and multisensor information fusion is a trend in the coming years and even decades. This article is aimed at studying how the traditional sports information acquisition and functional training system can be implemented under the multisensor information fusion. This article proposes the use of multisensor information fusion technology to conduct an in-depth study on the traditional ways of acquiring sports information and the cognition of sports information by different groups of people, as well as the use of multisensor information fusion technology to update the functional training system and discuss whether this new functional training system is in line with the speed and rhythm of the current era compared with the traditional training system. The results of obtaining sports information from different groups of people show that more people know about sports events at home and abroad, reaching 22.5%. Under the same circumstances, 60% of the elderly are willing to pay attention to sports information, while only 30% of the young people are willing to pay attention to sports information. And from 2016 to 2021, the number of people in functional training nationwide has increased from 200,000 to 1.5 million.
With the deepening of the national health program, the number of people participating in sports activities is increasing, and the problem of insufficient community sports resources is becoming more and more obvious. It is an effective way of solving the problem of injecting sports resources into the public service system of national fitness, but the process of integration of sports resources and public national fitness service is not smooth. Through expert consultation and a fuzzy comprehensive evaluation method, this study analyzed the current situation of university sports resources into the public service system of national fitness, and collected the evaluation of social fitness personnel on the opening of university resources by means of a questionnaire combined with experts' opinions, using a fuzzy comprehensive evaluation method to transform subjective and fuzzy evaluation into objective and specific evaluation points. The research shows that the current level of university sports resources into the public service system of national fitness is low, which shows that the sports resources sharing policy under the national fitness has not been well implemented. The study proposes that the level of sharing of sports resources can be strengthened by the awareness of sharing of sports resources by university leaders and improving the management system. This study is expected to represent a reference for the university sports resources into the public service system of national fitness in the new era.
In recent years, although the overall physical health of Chinese students has shown an upward trend, the substantial decline in student physical fitness has been basically curbed. Most of the physical health indicators of students are steadily improving, but there are still many problems that need to be vigilant. In order to solve the problem of the decline of the physical health of primary school students, it is very important to construct a teaching system based on big data and artificial intelligence to promote the physical health of primary school students. This article aims to study from the actual situation and find scientific and reasonable methods to improve the physical health of primary school students. This article uses the literature method, questionnaire survey method, mathematical statistics method, and other research methods to analyze and study the current physical condition of the interviewed students and the actual influencing factors by taking students from 5 domestic primary schools as the research object. It is concluded that more than 90% of primary school students in Haidian District, Beijing, have good physique and physical development. The development level of strength and flexibility is gradually improved, but the speed and endurance quality are on the decline, especially the endurance quality of primary school boys has declined the most. Lack of good exercise habits, insufficient exercise time and exercise efficiency, and lack of appropriate exercise volume and necessary exercise intensity are currently the most important factors affecting the physical health of primary school students. The physical problems of primary school students are not caused by a single factor, but the result of multiple factors. This article puts forward a number of suggestions for the above situation and problems to be solved urgently.
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